<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Machine Learning - Tag - Vindrin</title><link>https://vindrin.top/tags/machine-learning/</link><description>Machine Learning - Tag - Vindrin</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>vindrin@outlook.com (Vindrin)</managingEditor><webMaster>vindrin@outlook.com (Vindrin)</webMaster><lastBuildDate>Sun, 05 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://vindrin.top/tags/machine-learning/" rel="self" type="application/rss+xml"/><item><title>Things I Wish I Knew Before Learning Machine Learning</title><link>https://vindrin.top/posts/ml-lessons-learned/</link><pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate><author>vindrin@outlook.com (Vindrin)</author><guid>https://vindrin.top/posts/ml-lessons-learned/</guid><description><![CDATA[<h1 id="things-i-wish-i-knew-before-learning-machine-learning">Things I Wish I Knew Before Learning Machine Learning</h1>
<p>I spent three months grinding through ML tutorials. Here&rsquo;s what I&rsquo;d tell myself at the start.</p>
<h2 id="1-math-first-code-second">1. Math first, code second</h2>
<p>You can copy-paste model code without understanding it. But when it breaks, you&rsquo;re lost. Spend time on linear algebra and probability basics — it pays off later.</p>
<h2 id="2-start-small">2. Start small</h2>
<p>Don&rsquo;t start with GPT or diffusion models. Start with linear regression on a CSV file. Understand what a loss function actually means.</p>]]></description></item></channel></rss>